introduction
keywords
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supervised learning
Supervised learning, in the context of artificial intelligence (AI) and machine learning, is a type of system in which both input and desired output data are provided. Input and output data are labelled for classification to provide a learning basis for future data processing. -
unsupervised learning
opposite of supervised learning -
classification
Cases such as the digit recognition example, in which the aim is to assign each input vector to one of a finite number of discrete categories -
reinforcement learning
Reinforcement learning is where a system, or agent, tries to maximize some measure of reward while interacting with a dynamic environment. If an action is followed by an increase in the reward, then the system increases the tendency to produce that action. -
regression
If the desired output consists of one or more continuous variables, then the task is called regression